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Nonlinear discriminant analysis based on vanishing component analysis 期刊论文
NEUROCOMPUTING, 2016, 卷号: 218, 页码: 172-184
作者:  Shao, Yunxue;  Gao, Guanglai;  Wang, Chunheng
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：439/123  |  提交时间：2017/02/14
Kernel Discriminant Analysis  Linear Discriminant Analysis  Vanishing Component Analysis  Support Vector Machine  Random Forest  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：347/135  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：379/119  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载：614/236  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks  
Neural-network-based decentralized control of continuous-time nonlinear interconnected systems with unknown dynamics 期刊论文
NEUROCOMPUTING, 2015, 期号: 165, 页码: 90-98
作者:  Liu, Derong;  Li, Chao;  Li, Hongliang;  Wang, Ding;  Ma, Hongwen
浏览  |  Adobe PDF(1120Kb)  |  收藏  |  浏览/下载：368/116  |  提交时间：2015/09/17
Adaptive Dynamic Programming  Decentralized Control  Optimal Control  Policy Iteration  Neural Networks  
Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2015, 卷号: 156, 期号: x, 页码: 166-175
作者:  Song, Ruizhuo;  Wei, Qinglai;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(629Kb)  |  收藏  |  浏览/下载：348/95  |  提交时间：2015/09/21
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Nonlinear Systems  Optimal Control  Time-delay  
Nonrigid medical image registration with locally linear reconstruction 期刊论文
NEUROCOMPUTING, 2014, 卷号: 145, 页码: 303-315
作者:  Wang, Lingfeng;  Pan, Chunhong
浏览  |  Adobe PDF(3053Kb)  |  收藏  |  浏览/下载：308/77  |  提交时间：2015/08/12
Nonrigid Image Registration  Locally Linear Reconstruction  Intensity Distortion  Multi-modal  
Neuro-optimal control for a class of unknown nonlinear dynamic systems using SN-DHP technique 期刊论文
NEUROCOMPUTING, 2013, 卷号: 121, 页码: 218-225
作者:  Wang, Ding;  Liu, Derong
Adobe PDF(634Kb)  |  收藏  |  浏览/下载：276/63  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  
Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm 期刊论文
NEUROCOMPUTING, 2013, 卷号: 110, 页码: 92-100
作者:  Liu, Derong;  Li, Hongliang;  Wang, Ding
Adobe PDF(537Kb)  |  收藏  |  浏览/下载：264/106  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Heuristic Dynamic Programming  Neural Networks  Zero-sum Game  H-infinity Optimal Control  
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach 期刊论文
NEUROCOMPUTING, 2012, 卷号: 78, 期号: 1, 页码: 14-22
作者:  Wang, Ding;  Liu, Derong;  Wei, Qinglai
Adobe PDF(465Kb)  |  收藏  |  浏览/下载：241/91  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Finite-horizon Optimal Tracking Control  Learning Control  Neural Networks  Reinforcement Learning